Browse > Article
http://dx.doi.org/10.11614/KSL.2013.46.4.581

Carbon, Nitrogen and Phosphorous Ratios of Zooplankton in the Major River Ecosystems  

Kim, Hyun-Woo (Department of Environmental Education, Sunchon National University)
La, Geung-Hwan (Department of Environmental Education, Sunchon National University)
Jeong, Kwang-Seuk (Institute of Environmental Technology & Industry, Pusan National University, Department of Biological Sciences, Pusan National University)
Kim, Dong-Kyun (Department of Physical & Environmental Sciences, University of Toronto)
Hwang, Soon-Jin (Department of Environmental Science, Konkuk University)
Lee, Jaeyong (Department of Environmental Science, Kwangwon National University)
Kim, Bomchul (Department of Environmental Science, Kwangwon National University)
Publication Information
Abstract
The amounts of carbon (C), nitrogen (N) and phosphorus (P) in relation to dry weight (D.W.) were measured in zooplankton from the large four rivers (Han R., Geum R., Yeongsan R. and Seomjin R.) during 2004~2008. The stoichiometry of total zooplankton in four river systems was highly variable. The ranges of average C, N and P-contents were $70{\sim}620mgC\;mg^{-1}$ D.W., $7.1{\sim}85.5{\mu}gN\;mg^{-1}$ D.W. and $2.5{\sim}7.4{\mu}gP\;mg^{-1}$ D.W., respectively. The mean C :N: P atomic ratios reflected large spatial differences. The C : P and N : P ratios of the zooplankton community ranged from 38 to 392 : 1 and from 4 to 65 : 1 in all sampling sites. Self-Organizing Map (SOM) was applied to the survey data, and the study sites were clearly classified into 3 clusters. Clustering was largely affected by the distribution pattern of C, N, P-contents, which is related with characteristics of river systems on the basis of stoichiometry.
Keywords
zooplankton; river; stoichiometry; phytoplankton; Self-Organizing Map;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Jeong, K.-S., D.-K. Kim, A. Pattnaik, K. Bhatta, B. Bhandari and G.-J. Joo. 2008. Patterning limnological characteristics of the Chilika lagoon (India) using a self-organizing map. Limnology 9: 231-242.   DOI   ScienceOn
2 Kim, D.-K., G.-J. Joo, K.-S. Jeong, K.-H. Chang and H.-W. Kim. 2006. Patterning zooplankton dynamics in the regulated Nakdong River by means of the Self-Oragnizing Map. Korean Journal of Limnological Society 39: 52-61.
3 Kim, D.K., K.S. Jeong, K.H. Chang, G.H. La, G.J. Joo and H.W. Kim. 2012. Patterning zooplankton communities in accordance with annual climatic conditions in a regulated river system (Nakdong River, South Korea). International Review of Hydrobiology 97: 55-72.   DOI   ScienceOn
4 Kohonen, T. 1997. Self-Organizing Maps. Springer, New York.
5 Lair, N. 2006. A review of regulation mechanisms of metazoan plankton in riverine ecosystems: aquatic habitat versus biota. River Research and Applications 22: 567-593.   DOI   ScienceOn
6 Lehman, J.T. 1980. Nutrient cycling as an interface between algae and grazers in freshwater communities. American Society of Limnology and Oceanography Special Symposia 3: 251-263.
7 Omori, M. 1969. The biology of a sergestid shrimp Sergestes Zucens Hansen. Bulletin of the Ocean Research Institute, University of Tokyo.
8 Redfield, A. 1934. On the proportions of organic derivatives in sea water and their relation to the composition of plankton. p. 177-192. In: James Johnstone Memorial Volume (Daniel, R.J. ed.). University Press of Liverpool. Liverpool.
9 Sterner, R.W. and J.J. Elser. 2002. Ecological stoichiometry: The biology of elements from molecules to the biosphere. Princeton Univ. Press.
10 Sterner, R.W., T. Andersen, J.J. Elser, D.O. Hessen, J.M. Hood, E. Mccauley and J. Urabe. 2008. Scale-dependent carbon : nitrogen : phosphorous seston stoichiometry in marine and freshwaters. Limnology and Oceanography 53: 1169-1180.   DOI
11 Varbiro, G., E. Acs, G. Borics, K. Erces, G. Feher, I. Grigorszky, T. Japport, G. Kocsis, E. Karsznai, K. Nagy, Z. Nagy-Laszlo, Z. Pilinszky and K.T. Kiss. 2007. Use of self-organizing maps (SOM) for characterization of riverine phytoplankton associations in Hungary. Archiv fur Hydrobiologie 161(Supplement): 388-394.
12 Andersen, T. and D.O. Hessen. 1991. Carbon, nitrogen, and phosphorus content of freshwater zooplankton. Limnology and Oceanography 36: 807-814.   DOI   ScienceOn
13 Chon, T.S., Y.S. Park and E.Y Cha. 2000. Patterning of community changes in bentic macroinvertebrates collected from urbanized streams for the short term prediction by temporal artificial neuronal networks. p. 99-114. In: Artificial Neuronal Networks: Application to Ecology and Evolution (Lek, S. and J.F. Guegan, eds.). Springer, Berlin.
14 Giraudel, J.L. and S. Lek. 2001. A comparison of self-organizing map algorithm and some conventional statistical methods for ecological community ordination. Ecological Modelling 146: 329-339.   DOI   ScienceOn
15 Darchambeau, F., I. Thys, B. Leporcq, L. Hoffmann and J.-P. Descy. 2005. Influence of zooplankton stoichiometry on nutrient sedimentation in a lake system. Limnology and Oceanography 50: 905-913.   DOI
16 Elser, J.J., R.W. Sterner, E. Gorokhova, W.F. Fagan, T.A. Markow, J.B. Cotner, J.F. Harrison, S.E. Hobbie, G.M. Odell and L.J. Weider. 2000. Biological stoichiometry from genes to ecosytems. Ecology Letters 3: 540-550.   DOI   ScienceOn
17 Garcia, H.L. and L.M. Gonzalez. 2004. Self-Organizing Map and clustering for wastewater treatment monitoring. Engineering Applications of Artificial Intelligence 17: 215-225.   DOI   ScienceOn
18 Guegan, J.-F., S. Lek and T. Oberdorff. 1998. Energy availability and habitat heterogeneity predict global riverine fish diversity. Nature 391: 382-384.   DOI   ScienceOn
19 Ferrao-Filho, A.S., A.J. Tessir and W.R. DeMott. 2007. Sensitivity of herbivorous zooplankton to phosphorus-deficient diets: Testing stoichiometric theory and the growth rate hypothesis. Limnology and Oceanography 52: 407-415.   DOI